Security Data Analyst
Security Data Analyst
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Salary Not Disclosed
1 Vacancy
Job Description
Mavenir is building the future of networks and pioneering advanced technology focusing on the vision of a single software-based automated network that runs on any cloud. As the industrys only end-to-end cloud-native network software provider Mavenir is transforming the way the world connects accelerating software network transformation for 250 Communications Service Providers in over 120 countries which serve more than 50% of the worlds subscribers.
Role Summary
What will you doApplied data science research to fight spam scam and fraud attacks in SMS MMS e-mail and other mobile telecommunication protocols
Helping mobile network operators worldwide in localization identification monetization and prevention of spam and fraud attacks
Big Data analysis of Voice/SMS/MMS traffic (>100 million messages per day)
Data cleaning and preprocessing (data wrangling) exploratory analysis statistical analysis
Machine learning data mining text mining in different languages
Data visualization and presentation
Uncovering activities of organized groups of spammers and fraudsters
Researching new fraud techniques and designing algorithms for their detection and prevention
Monitoring and preventing virus and malware distribution vectors in SMS/MMS
Presenting results to customers leading discussions about findings and best approaches to manage the fraud attacks
What will you work with
Statistical tools R-studio python
Mavenirs solution for identification of fraud and spam in mobile networks
Unique data sets (Voice/SMS/MMS/RCS communication from all around the world)
State of the art fraud detection algorithms
Core mobile network systems and technologies
Linux OS
Big data tools - Spark ElasticSearch/OpenSearch Kafka
Data science and machine learning tooling - NumPy SciPy MLlib
Key Responsibilities
What will you do
Applied data science research to fight spam scam and fraud attacks in SMS MMS e-mail and other mobile telecommunication protocols
Helping mobile network operators worldwide in localization identification monetization and prevention of spam and fraud attacks
Big Data analysis of Voice/SMS/MMS traffic (>100 million messages per day)
Data cleaning and preprocessing (data wrangling) exploratory analysis statistical analysis
Machine learning data mining text mining in different languages
Data visualization and presentation
Uncovering activities of organized groups of spammers and fraudsters
Researching new fraud techniques and designing algorithms for their detection and prevention
Monitoring and preventing virus and malware distribution vectors in SMS/MMS
Presenting results to customers leading discussions about findings and best approaches to manage the fraud attacks
What will you work with
Statistical tools R-studio python
Mavenirs solution for identification of fraud and spam in mobile networks
Unique data sets (Voice/SMS/MMS/RCS communication from all around the world)
State of the art fraud detection algorithms
Core mobile network systems and technologies
Linux OS
Big data tools - Spark ElasticSearch/OpenSearch Kafka
Data science and machine learning tooling - NumPy SciPy MLlib
Job Requirements
What we expect you already know/have
- Practical experience with statistical analysis or Business Intelligence
- Scripting languages (for example R bash python perl lua or similar)
- Data visualization and reporting
- Critical thinking and strong problem-solving skills
- Curiosity and willingness to learn new things
- Working proficiency in English
We appreciate you already know/have
- Machine learning
- Linux
Accessibility
Mavenir is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. If you require any assistance please state in your application or contact your recruiter.
Mavenir is an Equal Employment Opportunity (EEO) employer and welcomes qualified applicants from around the world regardless of their ethnicity gender religion nationality age disability or other legally protected status.
Required Experience:
IC
Employment Type
Full-Time
